AI model comparison
Qwen3.6 35B A3B vs GPT-5.4 Nano
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.6 35B A3B
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token.
- Input / 1M
- $0.15
- Output / 1M
- $1
- Context
- 262K
OpenAI
GPT-5.4 Nano
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks.
- Input / 1M
- $0.20
- Output / 1M
- $1.25
- Context
- 400K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.6 35B A3B
1.3x cheaper for a typical chat
Higher intelligence score
GPT-5.4 Nano
20.7 vs 18.2 on Artificial Analysis
Larger context window
GPT-5.4 Nano
400K vs 262K tokens
Newer release
Qwen3.6 35B A3B
Released April 27, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.6 35B A3B18.2GPT-5.4 Nano20.7Coding index
Qwen3.6 35B A3B41.9GPT-5.4 Nano56.1Agentic index
Qwen3.6 35B A3B13.1GPT-5.4 Nano16Pricing
Qwen3.6 35B A3B vs GPT-5.4 Nano API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.6 35B A3B | GPT-5.4 Nano |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.20 |
| Output tokensPer 1M tokens | $1 | $1.25 |
| Cached input (read)Per 1M tokens | $0.05 | $0.02 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.6 35B A3B$0.80GPT-5.4 Nano$1.02Coding task
30K in, 4K out
Qwen3.6 35B A3B$8.50$5.50 cachedGPT-5.4 Nano$11$5.60 cachedLong document summary
150K in, 2K out
Qwen3.6 35B A3B$24.50$9.50 cachedGPT-5.4 Nano$32.50$5.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.6 35B A3B | GPT-5.4 Nano |
|---|---|---|
| Context window | 262K tokens | 400K tokens |
| Max output | 236K tokens | 128K tokens |
| Input types | Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Extra high, High, Medium, Low, None |
| Default reasoning effort | Not available | Medium |
| Release date | April 27, 2026 | March 17, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.6 35B A3B | GPT-5.4 Nano |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.6 35B A3BView full model details- Qwen3.6 35B A3B vs DeepSeek V4 Flash 0423
- Qwen3.6 35B A3B vs Gemini 3.1 Flash Lite
- Qwen3.6 35B A3B vs Step 3.7 Flash
- Qwen3.6 35B A3B vs Qwen3.5-35B-A3B
- Qwen3.6 35B A3B vs LongCat 2.0
- Qwen3.6 35B A3B vs MiniMax M2
- Qwen3.6 35B A3B vs GLM 4.6
- Qwen3.6 35B A3B vs Qwen3.5-122B-A10B
- Qwen3.6 35B A3B vs Muse Glimmer 30B
- Qwen3.6 35B A3B vs Step 3.5 Flash
- Qwen3.6 35B A3B vs DeepSeek V3.1 Terminus
GPT-5.4 NanoView full model details- GPT-5.4 Nano vs DeepSeek V4 Flash 0423
- GPT-5.4 Nano vs DeepSeek V3.2
- GPT-5.4 Nano vs Gemini 3.5 Flash Lite
- GPT-5.4 Nano vs Step 3.7 Flash
- GPT-5.4 Nano vs GPT-5 Mini
- GPT-5.4 Nano vs GPT-5.6 Luna Pro
- GPT-5.4 Nano vs MiniMax M2.7
- GPT-5.4 Nano vs MiniMax M2.5
- GPT-5.4 Nano vs MiniMax M2.1
- GPT-5.4 Nano vs GPT-5.1-Codex-Mini
- GPT-5.4 Nano vs o3
- GPT-5.4 Nano vs Qwen3.5-35B-A3B
- GPT-5.4 Nano vs LongCat 2.0
- GPT-5.4 Nano vs MiniMax M2
- GPT-5.4 Nano vs Muse Glimmer 30B
Our take
Qwen3.6 35B A3B is 1.3x cheaper for a typical chat. GPT-5.4 Nano scores higher on the Artificial Analysis Intelligence Index (20.7 vs 18.2). GPT-5.4 Nano has the larger context window (400K vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.6 35B A3B or GPT-5.4 Nano cheaper?
Qwen3.6 35B A3B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.6 35B A3B costs $0.15 per 1M input tokens and $1 per 1M output tokens, while GPT-5.4 Nano costs $0.20 per 1M input tokens and $1.25 per 1M output tokens.
Which has a bigger context window, Qwen3.6 35B A3B or GPT-5.4 Nano?
GPT-5.4 Nano supports up to 400K tokens of context, compared with 262K for Qwen3.6 35B A3B.
Is Qwen3.6 35B A3B smarter than GPT-5.4 Nano?
On the Artificial Analysis Intelligence Index, Qwen3.6 35B A3B scores 18.2 and GPT-5.4 Nano scores 20.7, putting GPT-5.4 Nano ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.6 35B A3B and GPT-5.4 Nano at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.6 35B A3B and GPT-5.4 Nano answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.6 35B A3B and GPT-5.4 Nano at the same time. Compare the answers side by side and keep the best one.